首页> 外文会议>International Conference on Intelligent Computing;ICIC 2008 >The Research of Using Ant Colony Algorithm in SolvingSequencing Problem of Mixed Model Assembly Lines with Multi-objectives
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The Research of Using Ant Colony Algorithm in SolvingSequencing Problem of Mixed Model Assembly Lines with Multi-objectives

机译:蚁群算法用于求解多目标混合模型装配线排序问题的研究

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Mixed model assembly lines (MMAL) sequencing problem is a typical NP-hard problem. It's important to search for an optimal sequence to maximize the efficiency of production lines. Therefore this work proposes a new mathematic programming model for measuring the efficiency of MMAL. A modified ant colony algorithm (MACA) is developed to determine a sequence which optimizes the objective function with elitist strategy. The experimental results indicate the applicability of the proposed objective function and availability of the algorithm in solving this problem.
机译:混合模型装配线(MMAL)排序问题是一个典型的NP难题。寻找最佳顺序以最大化生产线的效率很重要。因此,这项工作提出了一种用于测量MMAL效率的新的数学编程模型。开发了一种改进的蚁群算法(MACA)来确定采用精英策略优化目标函数的序列。实验结果表明所提出的目标函数的适用性以及该算法在解决该问题上的可用性。

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